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Here, we investigate what controls the depth of regolith formed on ridges of two rock compositions with similar initial porosities in Virginia (USA). A priori, we predicted that the regolith on diabase would be thicker than on granite because the dominant mineral (feldspar) in the diabase weathers faster than its granitic counterpart. However, weathering advanced 20\u0001 deeper into the granite than the diabase. The 20 \u0001 -thicker regolith is attributed mainly to connected micron-sized pores, microfractures formed around oxidizing biotite at 20 m depth, and the lower iron (Fe) content in the felsic rock. Such porosity allows pervasive advection and deep oxidation in the granite. These observations may explain why regolith worldwide is thicker on felsic compared to mafic rock under similar conditions. To understand regolith formation will require better understanding of such deep oxidation reactions and how they impact fluid flow during weathering.</p>","language":"English","publisher":"Wiley Online ","doi":"10.1002/esp.3369","usgsCitation":"Bazilevskaya, E., Lebedeva, M., Pavich, M.J., Brantley, S.L., Rother, G., Parkinson, D.Y., and Cole, D., 2013, Where fast weathering creates thin regolith and slow weathering creates thick regolith: Earth Surface Processes and Landforms, p. 847-858, https://doi.org/10.1002/esp.3369.","productDescription":"12 p. ","startPage":"847","endPage":"858","ipdsId":"IP-042800","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"Virginia 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,{"id":70043741,"text":"fs20133005 - 2013 - Groundwater resources of the Wood River Valley, Idaho--A groundwater-flow model for resource management","interactions":[],"lastModifiedDate":"2013-02-19T13:41:15","indexId":"fs20133005","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3005","title":"Groundwater resources of the Wood River Valley, Idaho--A groundwater-flow model for resource management","docAbstract":"The U.S. Geological Survey (USGS), in collaboration with the Idaho Department of Water Resources (IDWR), will use the current understanding of the Wood River Valley aquifer system to construct a MODFLOW numerical groundwater-flow model to simulate potential anthropogenic and climatic effects on groundwater and surface-water resources. This model will serve as a tool for water rights administration and water-resource management and planning. The study will be conducted over a 3-year period from late 2012 until model and report completion in 2015.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133005","collaboration":"Prepared in cooperation with Idaho Department of Water Resources","usgsCitation":"Bartolino, J., and Vincent, S., 2013, Groundwater resources of the Wood River Valley, Idaho--A groundwater-flow model for resource management: U.S. Geological Survey Fact Sheet 2013-3005, 4 p., https://doi.org/10.3133/fs20133005.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":267728,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3005/pdf/fs2013-3005.pdf"},{"id":267729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2013_3005.png"},{"id":267727,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3005/"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.24,42.0 ], [ -117.24,49.0 ], [ -111.0,49.0 ], [ -111.0,42.0 ], [ -117.24,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249f04e4b0b6328103b313","contributors":{"authors":[{"text":"Bartolino, James","contributorId":46849,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"","affiliations":[],"preferred":false,"id":474190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Sean","contributorId":52465,"corporation":false,"usgs":true,"family":"Vincent","given":"Sean","affiliations":[],"preferred":false,"id":474191,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043737,"text":"sir20125258 - 2013 - Effects of recent climate variability on groundwater levels in eastern Arkansas","interactions":[],"lastModifiedDate":"2013-02-19T13:28:51","indexId":"sir20125258","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5258","title":"Effects of recent climate variability on groundwater levels in eastern Arkansas","docAbstract":"Water-level fluctuations in wells completed in the Mississippi River Valley alluvial aquifer in eastern Arkansas were compared to variability in annual precipitation, an indicator of climate variability. The wettest year on record in Little Rock, Arkansas, occurred in 2009 with 81.79 inches of precipitation compared to an average of 47.1 inches per year. In contrast, 2005 and 2010 were the 7th and 14th driest years on record with 34.55 and 36.52 inches per year, respectively. This variability in precipitation was reflected in water-level altitude changes between 2004 and 2008 and 2006 and 2010. Generally, drier conditions between 2004 and 2008 led to an average decline in water levels of 1.62 feet, whereas wetter conditions between 2006 and 2010 led to an average rise in water levels of 1.36 feet. Drier periods likely resulted in less recharge compared to wetter periods. Groundwater use from the alluvial aquifer peaked in 2000 and has since declined, in part, because of conservation measures and substantial reduction in aquifer saturated thickness. Groundwater-flow model results showed some areas of the alluvial aquifer simulated as dry in 2010, indicating a reduced capacity of the alluvial aquifer to produce water in those areas. Additional factors affecting groundwater use include the types of crops grown in an area and the availabitiliy of crop subsidies. Real-time continuous water-level measurements in wells allow for a more accurate assessment of the effect of variability in precipitation and water use than periodic water-level measurements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125258","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Czarnecki, J.B., and Schrader, T., 2013, Effects of recent climate variability on groundwater levels in eastern Arkansas: U.S. Geological Survey Scientific Investigations Report 2012-5258, iv, 17 p., https://doi.org/10.3133/sir20125258.","productDescription":"iv, 17 p.","startPage":"i","endPage":"17","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":267725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5258.gif"},{"id":267724,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5258/sir2012-5258.pdf"},{"id":267723,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5258/"}],"country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.64,36.5 ], [ -89.64,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249f02e4b0b6328103b30f","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":474187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":474188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043668,"text":"70043668 - 2013 - The floodplain food web mosaic: a study of its importance to salmon and steelhead with implications for their recovery","interactions":[],"lastModifiedDate":"2016-05-04T14:24:30","indexId":"70043668","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The floodplain food web mosaic: a study of its importance to salmon and steelhead with implications for their recovery","docAbstract":"<p>Although numerous studies have attempted to place species of interest within the context of food webs, such efforts have generally occurred at small scales or disregard potentially important spatial heterogeneity. If food web approaches are to be employed to manage species, studies are needed that evaluate the multiple habitats and associated webs of interactions in which these species participate. Here, we quantify the food webs that sustain rearing salmon and steelhead within a floodplain landscape of the Methow River, Washington, USA, a location where restoration has been proposed to restore side channels in an attempt to recover anadromous fishes. We combined year-long measures of production, food demand, and diet composition for the fish assemblage with estimates of invertebrate prey productivity to quantify food webs within the main channel and five different, intact, side channels; ranging from channels that remained connected to the main channel at low flow to those reduced to floodplain ponds. Although we found that habitats within the floodplain had similar invertebrate prey production, these habitats hosted different local food webs. In the main channel, 95% of total prey consumption flowed to fishes that are not the target of proposed restoration. These fishes consumed 64% and 47% of the prey resources that were found to be important to fueling chinook and steelhead production in the main channel, respectively. Conversely, in side channels, a greater proportion of prey was consumed by anadromous salmonids. As a result, carrying capacity estimates based on food were 251% higher, on average, for anadromous salmonids in side channels than the main channel. However, salmon and steelhead production was generally well below estimated capacity in both the main and side channels, suggesting these habitats are under-seeded with respect to food, and that much larger populations could be supported. Overall, this study demonstrates that floodplain heterogeneity is associated with the occurrence of a mosaic of food webs, all of which were utilized by anadromous salmonids, and all of which may be important to their recovery and persistence. In the long term, these and other fishes would likely benefit from restoring the processes that maintain floodplain complexity.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0806.1","usgsCitation":"Bellmore, J.R., Baxter, C., Martens, K., and Connolly, P., 2013, The floodplain food web mosaic: a study of its importance to salmon and steelhead with implications for their recovery: Ecological Applications, v. 23, no. 1, p. 189-207, https://doi.org/10.1890/12-0806.1.","productDescription":"19 p.","startPage":"189","endPage":"207","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038097","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":267631,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.33187866210936,\n              48.54343256731947\n            ],\n            [\n              -120.21823883056639,\n              48.54320526925254\n            ],\n            [\n              -120.17875671386717,\n              48.5427506700564\n            ],\n            [\n              -120.1694869995117,\n              48.53729516122354\n            ],\n            [\n              -120.1636505126953,\n              48.48816912136813\n            ],\n            [\n              -120.14270782470705,\n              48.45402579009966\n            ],\n            [\n              -120.11077880859375,\n              48.387494205589356\n            ],\n            [\n              -120.10425567626953,\n              48.36628606659289\n            ],\n            [\n              -120.18184661865234,\n              48.362864571600966\n            ],\n            [\n              -120.21240234375001,\n              48.368795016842604\n            ],\n            [\n              -120.28209686279295,\n              48.44286732344491\n            ],\n            [\n              -120.32981872558594,\n              48.52319904196369\n            ],\n            [\n              -120.33187866210936,\n              48.54343256731947\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249f07e4b0b6328103b317","contributors":{"authors":[{"text":"Bellmore, J. 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,{"id":70043743,"text":"fs20123135 - 2013 - Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas","interactions":[],"lastModifiedDate":"2013-02-19T13:49:45","indexId":"fs20123135","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3135","title":"Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas","docAbstract":"Arkansas experienced wide extremes in climate variability during the period of 2005 to 2010, recording the largest annual precipitation ever recorded in the State (100.05 inches) in 2009. Many weather stations across the State reported between 80 to 90 inches of rainfall in 2009. For comparison, the average annual precipitation in Little Rock, Arkansas, for the period 1878 to 2010 was 47.1 inches. In contrast, 2005 and 2010 were the 7th and 14th driest years on record in Little Rock with 34.55 and 36.52 inches, respectively; both tied as the hottest years ever recorded in Arkansas. The wettest year on record in Little Rock (2009) was interspersed within these dry years, with a total of 81.79 inches. Fifteen weather stations within the State ranked 2009 as the wettest year on record. Extremes in annual precipitation rates may lead to greater variability in groundwater recharge rates and water use, particularly in the agricultural areas in eastern Arkansas that rely heavily on groundwater produced from the Mississippi River Valley alluvial aquifer (hereafter referred to as the alluvial aquifer). How does this variability affect the groundwater system and water use therein? Are the effects of this variability discernable in measured water levels in wells? Czarnecki and Schrader examined these questions and provided some insights, the results of which are presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123135","usgsCitation":"Czarnecki, J.B., and Schrader, T., 2013, Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas: U.S. Geological Survey Fact Sheet 2012-3135, 6 p., https://doi.org/10.3133/fs20123135.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":267732,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3135/fs2012-3135.pdf"},{"id":267733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3135.gif"},{"id":267731,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3135/"}],"scale":"100000","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,8.333333333333334E-4 ], [ -93,8.333333333333334E-4 ], [ -89,8.333333333333334E-4 ], [ -89,8.333333333333334E-4 ], [ -93,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249edfe4b0b6328103b30b","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":474193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":474194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040729,"text":"70040729 - 2013 - The impact of lower sea-ice extent on Arctic greenhouse-gas exchange","interactions":[],"lastModifiedDate":"2014-01-14T10:00:21","indexId":"70040729","displayToPublicDate":"2013-02-17T09:48:44","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"The impact of lower sea-ice extent on Arctic greenhouse-gas exchange","docAbstract":"In September 2012, Arctic sea-ice extent plummeted to a new record low: two times lower than the 1979–2000 average. Often, record lows in sea-ice cover are hailed as an example of climate change impacts in the Arctic. Less apparent, however, are the implications of reduced sea-ice cover in the Arctic Ocean for marine–atmosphere CO<sub>2</sub> exchange. Sea-ice decline has been connected to increasing air temperatures at high latitudes. Temperature is a key controlling factor in the terrestrial exchange of CO<sub>2</sub> and methane, and therefore the greenhouse-gas balance of the Arctic. Despite the large potential for feedbacks, many studies do not connect the diminishing sea-ice extent with changes in the interaction of the marine and terrestrial Arctic with the atmosphere. In this Review, we assess how current understanding of the Arctic Ocean and high-latitude ecosystems can be used to predict the impact of a lower sea-ice cover on Arctic greenhouse-gas exchange.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"New York, NY","doi":"10.1038/nclimate1784","usgsCitation":"Parmentier, F.W., Christensen, T.R., Sorensen, L.L., Rysgaard, S., McGuire, A., Miller, P.A., and Walker, D.A., 2013, The impact of lower sea-ice extent on Arctic greenhouse-gas exchange: Nature Climate Change, v. 3, p. 195-202, https://doi.org/10.1038/nclimate1784.","productDescription":"8 p.","startPage":"195","endPage":"202","numberOfPages":"8","ipdsId":"IP-037560","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280965,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nclimate1784"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,52.5 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,52.5 ], [ -180.0,52.5 ] ] ] } } ] }","volume":"3","noUsgsAuthors":false,"publicationDate":"2013-02-17","publicationStatus":"PW","scienceBaseUri":"53cd780ee4b0b2908510be59","contributors":{"authors":[{"text":"Parmentier, Frans-Jan W.","contributorId":60537,"corporation":false,"usgs":true,"family":"Parmentier","given":"Frans-Jan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":468897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Torben R.","contributorId":11946,"corporation":false,"usgs":true,"family":"Christensen","given":"Torben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorensen, Lise Lotte","contributorId":89057,"corporation":false,"usgs":true,"family":"Sorensen","given":"Lise","email":"","middleInitial":"Lotte","affiliations":[],"preferred":false,"id":468899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rysgaard, Soren","contributorId":78245,"corporation":false,"usgs":true,"family":"Rysgaard","given":"Soren","email":"","affiliations":[],"preferred":false,"id":468898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":468895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Paul A.","contributorId":57372,"corporation":false,"usgs":true,"family":"Miller","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walker, Donald A.","contributorId":100022,"corporation":false,"usgs":true,"family":"Walker","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468900,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043611,"text":"fs20133008 - 2013 - Tracking and forecasting the Nation’s water quality - Priorities and strategies for 2013-2023","interactions":[],"lastModifiedDate":"2016-06-24T09:05:06","indexId":"fs20133008","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3008","title":"Tracking and forecasting the Nation’s water quality - Priorities and strategies for 2013-2023","docAbstract":"<p>Water-quality issues facing the Nation are growing in number and complexity, and solutions are becoming more challenging and costly. Key factors that affect the quality of our drinking water supplies and ecosystem health include contaminants of human and natural origin in streams and groundwater; excess nutrients and sediment; alteration of natural streamflow; eutrophication of lakes, reservoirs, and coastal estuaries; and changes in surface and groundwater quality associated with changes in climate, land and water use, and management practices. Tracking and forecasting the Nation's water quality in the face of these and other pressing water-quality issues are important goals for 2013-2023, the third decade of the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) program. In consultation with stakeholders and the National Research Council, a new strategic Science Plan has been developed that describes a strategy for building upon and enhancing assessment of the Nation's freshwater quality and aquatic ecosystems. The plan continues strategies that have been central to the NAWQA program's long-term success, but it also makes adjustments to the monitoring and modeling approaches NAWQA will use to address critical data and science information needs identified by stakeholders. This fact sheet describes <span>surface-water and groundwater</span> monitoring and modeling activities that will start in fiscal year 2013. It also provides examples of the types of data and information products planned for the next decade, including (1) restored monitoring for reliable and timely status and trend assessments, (2) maps and models that show the distribution of selected contaminants (such as atrazine, nitrate, and arsenic) in streams and aquifers, and (3) Web-based modeling tools that allow managers to evaluate how water quality may change in response to different scenarios of population growth, climate change, or land-use management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133008","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Rowe, G.L., Gilliom, R.J., and Woodside, M., 2013, Tracking and forecasting the Nation’s water quality - Priorities and strategies for 2013-2023: U.S. Geological Survey Fact Sheet 2013-3008, 6 p., https://doi.org/10.3133/fs20133008.","productDescription":"6 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,{"id":70043605,"text":"fs20133004 - 2013 - Streamflow, groundwater, and water-quality monitoring by USGS Nevada Water Science Center","interactions":[],"lastModifiedDate":"2013-02-15T09:06:37","indexId":"fs20133004","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3004","title":"Streamflow, groundwater, and water-quality monitoring by USGS Nevada Water Science Center","docAbstract":"The U.S. Geological Survey (USGS) has monitored and assessed the quantity and quality of our Nation's streams and aquifers since its inception in 1879. Today, the USGS provides hydrologic information to aid in the evaluation of the availability and suitability of water for public and domestic supply, agriculture, aquatic ecosystems, mining, and energy development. Although the USGS has no responsibility for the regulation of water resources, the USGS hydrologic data complement much of the data collected by state, county, and municipal agencies, tribal nations, U.S. District Court Water Masters, and other federal agencies such as the Environmental Protection Agency, which focuses on monitoring for regulatory compliance. The USGS continues its mission to provide timely and relevant water-resources data and information that are available to water-resource managers, non-profit organizations, industry, academia, and the public. Data collected by the USGS provide the science needed for informed decision-making related to resource management and restoration, assessment of flood and drought hazards, ecosystem health, and effects on water resources from land-use changes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133004","usgsCitation":"Gipson, M.L., and Schmidt, K., 2013, Streamflow, groundwater, and water-quality monitoring by USGS Nevada Water Science Center: U.S. Geological Survey Fact Sheet 2013-3004, 2 p., https://doi.org/10.3133/fs20133004.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":267535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2013_3004.jpg"},{"id":267533,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3004/"},{"id":267534,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3004/pdf/fs20133004.pdf"}],"country":"United States","state":"Nevada","otherGeospatial":"Nevada Water Science Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -12,8.333333333333334E-4 ], [ -12,0.0011111111111111111 ], [ -11.066666666666666,0.0011111111111111111 ], [ -11.066666666666666,8.333333333333334E-4 ], [ -12,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f590ae4b03b29402c5d56","contributors":{"authors":[{"text":"Gipson, Marsha L. mgipson@usgs.gov","contributorId":5065,"corporation":false,"usgs":true,"family":"Gipson","given":"Marsha","email":"mgipson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Kurtiss","contributorId":76611,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kurtiss","affiliations":[],"preferred":false,"id":473965,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043604,"text":"sim3212 - 2013 - Paleoseismology of a newly discovered scarp in the Yakima fold-and-thrust belt, Kittitas County, Washington","interactions":[],"lastModifiedDate":"2013-02-15T08:53:02","indexId":"sim3212","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3212","title":"Paleoseismology of a newly discovered scarp in the Yakima fold-and-thrust belt, Kittitas County, Washington","docAbstract":"The Boylston Mountains anticlinal ridge is one of several that are cored by rocks of the Columbia River Basalt Group and, with the interceding synclinal valleys, constitute the Yakima fold-and-thrust belt of central Washington. Lidar data acquired from the U.S. Army's Yakima Training Center reveal a prominent, northwest-side-up, 65°- to 70°-trending, 3- to 4-meter-high scarp that cuts across the western end of the Boylston Mountains, perpendicular to the mapped anticline. The scarp continues to the northeast from the ridge on the southern side of Park Creek and across the low ridges for a total length of about 3 kilometers. A small stream deeply incises its flood plain where it projects across Johnson Canyon. The scarp is inferred to be late Quaternary in age based on its presence on the modern landscape and the incised flood-plain sediments in Johnson Canyon. Two trenches were excavated across this scarp. The most informative of the two, the Horned Lizard trench, exposed shallow, 15.5-Ma Grande Ronde Basalt, which is split by a deep, wide crack that is coincident with the base of the scarp and filled with wedges of silty gravels that are interpreted to represent at least two generations of fault colluvium that offset a buried soil.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3212","usgsCitation":"Barnett, E., Sherrod, B.L., Norris, R., and Gibbons, D., 2013, Paleoseismology of a newly discovered scarp in the Yakima fold-and-thrust belt, Kittitas County, Washington: U.S. Geological Survey Scientific Investigations Map 3212, 1 Sheet: 48 x 36 inches, https://doi.org/10.3133/sim3212.","productDescription":"1 Sheet: 48 x 36 inches","numberOfPages":"1","onlineOnly":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3212.gif"},{"id":267519,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3212/"},{"id":267520,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3212/sim3212_sheet.pdf"}],"country":"United States","state":"Washington","county":"Kittitas County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.46,46.73 ], [ -121.46,47.6 ], [ -119.92,47.6 ], [ -119.92,46.73 ], [ -121.46,46.73 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f5908e4b03b29402c5d52","contributors":{"authors":[{"text":"Barnett, Elizabeth A.","contributorId":41550,"corporation":false,"usgs":true,"family":"Barnett","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":473962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L.","contributorId":16874,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norris, Robert","contributorId":75943,"corporation":false,"usgs":true,"family":"Norris","given":"Robert","affiliations":[],"preferred":false,"id":473963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbons, Douglas","contributorId":18246,"corporation":false,"usgs":true,"family":"Gibbons","given":"Douglas","email":"","affiliations":[],"preferred":false,"id":473961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044451,"text":"70044451 - 2013 - Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation","interactions":[],"lastModifiedDate":"2013-03-12T15:40:26","indexId":"70044451","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation","docAbstract":"As a consequence of contemporary or longer term (since 15 ka) climate warming, gas hydrates in some settings may presently be dissociating and releasing methane and other gases to the ocean-atmosphere system. A key challenge in assessing the impact of dissociating gas hydrates on global atmospheric methane is the lack of a technique able to distinguish between methane recently released from gas hydrates and methane emitted from leaky thermogenic reservoirs, shallow sediments (some newly thawed), coal beds, and other sources. Carbon and deuterium stable isotopic fractionation during methane formation provides a first-order constraint on the processes (microbial or thermogenic) of methane generation. However, because gas hydrate formation and dissociation do not cause significant isotopic fractionation, a stable isotope-based hydrate-source determination is not possible. Here, we investigate patterns of mass-dependent noble gas fractionation within the gas hydrate lattice to fingerprint methane released from gas hydrates. Starting with synthetic gas hydrate formed under laboratory conditions, we document complex noble gas fractionation patterns in the gases liberated during dissociation and explore the effects of aging and storage (e.g., in liquid nitrogen), as well as sampling and preservation procedures. The laboratory results confirm a unique noble gas fractionation pattern for gas hydrates, one that shows promise in evaluating modern natural gas seeps for a signature associated with gas hydrate dissociation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.09.033","usgsCitation":"Hunt, A.G., Stern, L., Pohlman, J., Ruppel, C., Moscati, R.J., and Landis, G.P., 2013, Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation: Chemical Geology, v. 339, p. 242-250, https://doi.org/10.1016/j.chemgeo.2012.09.033.","productDescription":"9 p.","startPage":"242","endPage":"250","numberOfPages":"9","additionalOnlineFiles":"N","ipdsId":"IP-041110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473951,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5862","text":"External Repository"},{"id":269182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269181,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.09.033"}],"volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e7fe4b089809dbf447e","contributors":{"authors":[{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":475637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Laura","contributorId":72677,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","affiliations":[],"preferred":false,"id":475641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":475642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":475638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":475639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":475640,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043543,"text":"70043543 - 2013 - Introduced northern pike predation on salmonids in southcentral Alaska","interactions":[],"lastModifiedDate":"2013-03-18T13:16:48","indexId":"70043543","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Introduced northern pike predation on salmonids in southcentral Alaska","docAbstract":"Northern pike (<i>Esox lucius</i>) are opportunistic predators that can switch to alternative prey species after preferred prey have declined. This trophic adaptability allows invasive pike to have negative effects on aquatic food webs. In Southcentral Alaska, invasive pike are a substantial concern because they have spread to important spawning and rearing habitat for salmonids and are hypothesised to be responsible for recent salmonid declines. We described the relative importance of salmonids and other prey species to pike diets in the Deshka River and Alexander Creek in Southcentral Alaska. Salmonids were once abundant in both rivers, but they are now rare in Alexander Creek. In the Deshka River, we found that juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and coho salmon (<i>O. kisutch</i>) dominated pike diets and that small pike consumed more of these salmonids than large pike. In Alexander Creek, pike diets reflected the distribution of spawning salmonids, which decrease with distance upstream. Although salmonids dominated pike diets in the lowest reach of the stream, Arctic lamprey (<i>Lampetra camtschatica</i>) and slimy sculpin (<i>Cottus cognatus</i>) dominated pike diets in the middle and upper reaches. In both rivers, pike density did not influence diet and pike consumed smaller prey items than predicted by their gape-width. Our data suggest that (1) juvenile salmonids are a dominant prey item for pike, (2) small pike are the primary consumers of juvenile salmonids and (3) pike consume other native fish species when juvenile salmonids are less abundant. Implications of this trophic adaptability are that invasive pike can continue to increase while driving multiple species to low abundance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology of Freshwater Fish","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/eff.12024","usgsCitation":"Sepulveda, A., Rutz, D.S., Ivey, S.S., Dunker, K.J., and Gross, J.A., 2013, Introduced northern pike predation on salmonids in southcentral Alaska: Ecology of Freshwater Fish, v. 22, no. 2, p. 268-279, https://doi.org/10.1111/eff.12024.","productDescription":"12 p.","startPage":"268","endPage":"279","ipdsId":"IP-036989","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":267472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267471,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eff.12024"}],"country":"United States","state":"Alaska","otherGeospatial":"Alexander Creek;Deshka River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.7,51.21 ], [ -166.7,67.68 ], [ -130.0,67.68 ], [ -130.0,51.21 ], [ -166.7,51.21 ] ] ] } } ] }","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-14","publicationStatus":"PW","scienceBaseUri":"511f5906e4b03b29402c5d4e","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":473811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutz, David S.","contributorId":38033,"corporation":false,"usgs":false,"family":"Rutz","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":473813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Sam S.","contributorId":105190,"corporation":false,"usgs":true,"family":"Ivey","given":"Sam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":473815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunker, Kristine J.","contributorId":38864,"corporation":false,"usgs":false,"family":"Dunker","given":"Kristine","email":"","middleInitial":"J.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":473814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043614,"text":"sim3242 - 2013 - Flood-inundation maps for an 8.9-mile reach of the South Fork Little River at Hopkinsville, Kentucky","interactions":[],"lastModifiedDate":"2013-02-15T10:40:05","indexId":"sim3242","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3242","title":"Flood-inundation maps for an 8.9-mile reach of the South Fork Little River at Hopkinsville, Kentucky","docAbstract":"Digital flood-inundation maps for an 8.9-mile reach of South Fork Little River at Hopkinsville, Kentucky, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Hopkinsville Community Development Services. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <i><a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a></i> depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at South Fork Little River at Highway 68 By-Pass at Hopkinsville, Kentucky (station no. 03437495). Current conditions for the USGS streamgage may be obtained online at the USGS National Water Information System site (<i><a href=\"http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=03437495\" target=\"_blank\">http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=03437495</a></i>). In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service flood warning system (<i><a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">http://water.weather.gov/ahps/</a></i>). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. The forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the South Fork Little River reach by using HEC-RAS, a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (2012) stage-discharge relation at the South Fork Little River at Highway 68 By-Pass at Hopkinsville, Kentucky, streamgage and measurements collected during recent flood events. The calibrated model was then used to calculate 13 water-surface profiles for a sequence of flood stages, most at 1-foot intervals, referenced to the streamgage datum and ranging from a stage near bank full to the estimated elevation of the 1.0-percent annual exceedance probability flood at the streamgage. To delineate the flooded area at each interval flood stage, the simulated water-surface profiles were combined with a Digital Elevation Model (DEM) of the study area by using Geographic Information System (GIS) software. The DEM consisted of bare-earth elevations within the study area and was derived from a Light Detection And Ranging (LiDAR) dataset having a 3.28-foot horizontal resolution. These flood-inundation maps, along with online information regarding current stages from USGS streamgage and forecasted stages from the NWS, provide emergency management and local residents with critical information for flood response activities such as evacuations, road closures, and post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3242","collaboration":"Prepared in cooperation with the City of Hopkinsville, Kentucky, Community Development Services","usgsCitation":"Lant, J.G., 2013, Flood-inundation maps for an 8.9-mile reach of the South Fork Little River at Hopkinsville, Kentucky: U.S. Geological Survey Scientific Investigations Map 3242, Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3242.","productDescription":"Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":267570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3242.gif"},{"id":267558,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet05_stage14_0_.pdf"},{"id":267559,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet06_stage15_0.pdf"},{"id":267560,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet07_stage16_0.pdf"},{"id":267561,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet08_stage17_0.pdf"},{"id":267562,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet09_stage18_0.pdf"},{"id":267563,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet10_stage19_0.pdf"},{"id":267564,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet11_stage20_0.pdf"},{"id":267565,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet12_stage21_0.pdf"},{"id":267566,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet13_stage21_5.pdf"},{"id":267567,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/sim/3242/images/jpg_mapsheets"},{"id":267568,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3242/pdf"},{"id":267569,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3242/Downloads"},{"id":267554,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet01_stage10_0.pdf"},{"id":267552,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3242/"},{"id":267553,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3242/pdf/sim3242.pdf"},{"id":267555,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet02_stage11_0.pdf"},{"id":267556,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet03_stage12_0.pdf"},{"id":267557,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3242/pdf/Sheet04_stage13_0.pdf"}],"projection":"Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"Kentucky","city":"Hopkinsville","otherGeospatial":"South Fork Little River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5,36.816667 ], [ -87.5,36.866667 ], [ -87.425,36.866667 ], [ -87.425,36.816667 ], [ -87.5,36.816667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f58e2e4b03b29402c5d4a","contributors":{"authors":[{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473971,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173426,"text":"70173426 - 2013 - Environmental correlates of upstream migration of yellow-phase American eels in the Potomac River drainage","interactions":[],"lastModifiedDate":"2016-06-14T15:12:49","indexId":"70173426","displayToPublicDate":"2013-02-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Environmental correlates of upstream migration of yellow-phase American eels in the Potomac River drainage","docAbstract":"<p><span>Assessing the relationships between upstream migration and environmental variables is important to understanding the ecology of yellow-phase American Eels&nbsp;</span><i>Anguilla rostrata</i><span>. During an American Eel migration study within the lower Shenandoah River (Potomac River drainage), we counted and measured American Eels at the Millville Dam eel ladder for three periods: 14 May&ndash;23 July 2004, 7&ndash;30 September 2004, and 1 June&ndash;31 July 2005. Using generalized estimating equations, we modeled each time series of daily American Eel counts by fitting time-varying environmental covariates of lunar illumination (LI), river discharge (RD), and water temperature (WT), including 1-d and 2-d lags of each covariate. Information-theoretic approaches were used for model selection and inference. A total of 4,847 American Eels (19&ndash;74&nbsp;cm total length) used the ladder during the three periods, including 2,622 individuals during a 2-d span following a hurricane-induced peak in river discharge. Additive-effects models of RD + WT, a 2-d lag of LI + RD, and LI + RD were supported for the three periods, respectively. Parameter estimates were positive for river discharge for each time period, negative for lunar illumination for two periods and positive for water temperature during one period. Additive-effects models supported synergistic influences of environmental variables on the upstream migration of yellow-phase American Eels, although river discharge was consistently supported as an influential correlate of upstream migration.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.754788","usgsCitation":"Welsh, S., and Liller, H.L., 2013, Environmental correlates of upstream migration of yellow-phase American eels in the Potomac River drainage: Transactions of the American Fisheries Society, v. 142, no. 2, p. 483-491, https://doi.org/10.1080/00028487.2012.754788.","productDescription":"9 p.","startPage":"483","endPage":"491","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Millville dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.76809692382812,\n              39.32792401769028\n            ],\n            [\n              -77.87796020507812,\n              39.21203925595743\n            ],\n            [\n              -77.8765869140625,\n              39.17159402400064\n            ],\n            [\n              -77.85324096679688,\n              39.15455748911449\n            ],\n            [\n              -77.74200439453125,\n              39.31942523123949\n            ],\n            [\n              -77.76809692382812,\n              39.32792401769028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"142","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-14","publicationStatus":"PW","scienceBaseUri":"57612ab0e4b04f417c2ce4a6","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liller, Heather L.","contributorId":171347,"corporation":false,"usgs":false,"family":"Liller","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":637111,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70043522,"text":"ofr20131029 - 2013 - Water-quality data collected to determine the presence, source, and concentration of lead in the drinking water supply at Pipe Spring National Monument, northern Arizona","interactions":[],"lastModifiedDate":"2013-02-14T13:32:05","indexId":"ofr20131029","displayToPublicDate":"2013-02-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1029","title":"Water-quality data collected to determine the presence, source, and concentration of lead in the drinking water supply at Pipe Spring National Monument, northern Arizona","docAbstract":"Pipe Spring National Monument in northern Arizona contains historically significant springs. The groundwater source of these springs is the same aquifer that presently is an important source of drinking water for the Pipe Spring National Monument facilities, the Kaibab Paiute Tribe, and the community of Moccasin. The Kaibab Paiute Tribe monitored lead concentrations from 2004 to 2009; some of the analytical results exceeded the U.S. Environmental Protection Agency action level for treatment technique for lead of 15 parts per billion. The National Park Service and the Kaibab Paiute Tribe were concerned that the local groundwater system that provides the domestic water supply might be contaminated with lead. Lead concentrations in water samples collected by the U.S. Geological Survey from three springs, five wells, two water storage tanks, and one faucet were less than the U.S. Environmental Protection Agency action level for treatment technique. Lead concentrations of rock samples representative of the rock units in which the local groundwater resides were less than 22 parts per million.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131029","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Macy, J.P., Sharrow, D., and Unema, J., 2013, Water-quality data collected to determine the presence, source, and concentration of lead in the drinking water supply at Pipe Spring National Monument, northern Arizona: U.S. Geological Survey Open-File Report 2013-1029, iv, 16 p., https://doi.org/10.3133/ofr20131029.","productDescription":"iv, 16 p.","startPage":"i","endPage":"16","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":267408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1029.jpg"},{"id":267406,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1029/"},{"id":267407,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1029/pdf/ofr2013-1029.pdf"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.0,37.0 ], [ -109.0,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e078de4b071e86a19a413","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharrow, David","contributorId":21046,"corporation":false,"usgs":true,"family":"Sharrow","given":"David","email":"","affiliations":[],"preferred":false,"id":473765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Unema, Joel","contributorId":45171,"corporation":false,"usgs":true,"family":"Unema","given":"Joel","affiliations":[],"preferred":false,"id":473766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043520,"text":"ofr20131014 - 2013 - Model documentation for relations between continuous real-time and discrete water-quality constituents in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999--2009","interactions":[],"lastModifiedDate":"2013-02-14T13:09:37","indexId":"ofr20131014","displayToPublicDate":"2013-02-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1014","title":"Model documentation for relations between continuous real-time and discrete water-quality constituents in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999--2009","docAbstract":"Cheney Reservoir in south-central Kansas is one of the primary sources of water for the city of Wichita. The North Fork Ninnescah River is the largest contributing tributary to Cheney Reservoir. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station since 1998 on the North Fork Ninnescah River. Continuously measured water-quality physical properties include streamflow, specific conductance, pH, water temperature, dissolved oxygen, and turbidity. Discrete water-quality samples were collected during 1999 through 2009 and analyzed for sediment, nutrients, bacteria, and other water-quality constituents. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to estimate concentrations of those constituents of interest that are not easily measured in real time because of limitations in sensor technology and fiscal constraints. Regression models were published in 2006 that were based on a different dataset collected during 1997 through 2003. This report updates those models using discrete and continuous data collected during January 1999 through December 2009. Models also were developed for five new constituents, including additional nutrient species and indicator bacteria. The water-quality information in this report is important to the city of Wichita because it allows the concentrations of many potential pollutants of interest, including nutrients and sediment, to be estimated in real time and characterized over conditions and time scales that would not be possible otherwise.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131014","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Model documentation for relations between continuous real-time and discrete water-quality constituents in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999--2009: U.S. Geological Survey Open-File Report 2013-1014, xii, 101 p., https://doi.org/10.3133/ofr20131014.","productDescription":"xii, 101 p.","startPage":"i","endPage":"101","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1999-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-041134","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":267399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1014.gif"},{"id":267397,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1014/"},{"id":267398,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1014/of13-1014.pdf"}],"country":"United States","state":"Kansas","otherGeospatial":"North Fork Ninnescah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0,37.0 ], [ -102.0,40.0 ], [ -94.5884,40.0 ], [ -94.5884,37.0 ], [ -102.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e078be4b071e86a19a40b","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":473761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":473762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043521,"text":"fs20123141 - 2013 - Mapping, monitoring, and modeling Western Gateway Community landscape dynamics","interactions":[],"lastModifiedDate":"2013-02-14T13:19:42","indexId":"fs20123141","displayToPublicDate":"2013-02-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3141","title":"Mapping, monitoring, and modeling Western Gateway Community landscape dynamics","docAbstract":"Federal public lands in the western United States are becoming increasingly surrounded by Gateway Communities. These communities are undergoing landscape change due to population growth, economic growth, and the resulting land-use development. Socioeconomic, demographic, and land-use changes in Gateway Communities are often perceived as threats to Federal land resources, natural amenities, cultural resources, and recreational opportunities. However, land-surface disturbances on Federal public lands, such as conventional and alternative energy development (which impact surrounding Gateway Communities), are also environmental and societal issues that Federal land and adjacent regional community planners need to consider in their long-range land-use planning.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123141","collaboration":"Climate and Land Use Change—Landscape Change Science Program","usgsCitation":"Hester, D.J., 2013, Mapping, monitoring, and modeling Western Gateway Community landscape dynamics: U.S. Geological Survey Fact Sheet 2012-3141, 4 p., https://doi.org/10.3133/fs20123141.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":267403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3141.gif"},{"id":267401,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3141/"},{"id":267402,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3141/fs2012-3141.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.5,28.7 ], [ -132.5,49.2 ], [ -101.8,49.2 ], [ -101.8,28.7 ], [ -132.5,28.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e0762e4b071e86a19a406","contributors":{"authors":[{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":473763,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043408,"text":"sir20125234 - 2013 - Characterization of streamflow, water quality, and instantaneous dissolved solids, selenium, and uranium loads in selected reaches of the Arkansas River, southeastern Colorado, 2009-2010","interactions":[],"lastModifiedDate":"2013-02-13T09:24:47","indexId":"sir20125234","displayToPublicDate":"2013-02-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5234","title":"Characterization of streamflow, water quality, and instantaneous dissolved solids, selenium, and uranium loads in selected reaches of the Arkansas River, southeastern Colorado, 2009-2010","docAbstract":"As a result of continued water-quality concerns in the Arkansas River, including metal contamination from historical mining practices, potential effects associated with storage and movement of water, point- and nonpoint-source contamination, population growth, storm-water flows, and future changes in land and water use, the Arkansas River Basin Regional Resource Planning Group (RRPG) developed a strategy to address these issues. As such, a cooperative strategic approach to address the multiple water-quality concerns within selected reaches of the Arkansas River was developed to (1) identify stream reaches where stream-aquifer interactions have a pronounced effect on water quality and (or) where reactive transport, and physical and (or) chemical alteration of flow during conveyance, is occurring, (2) quantify loading from point sources, and (3) determine source areas and mass loading for selected constituents. (To see the complete abstract, open Report PDF.)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125234","collaboration":"Prepared in cooperation with the City of Aurora, Colorado Springs Utilities, Lower Arkansas Valley Water Conservancy District, Pueblo Board of Water Works, Southeastern Colorado Water Conservancy District, and Upper Arkansas Water Conservancy District","usgsCitation":"Ivahnenko, T., Ortiz, R.F., and Stogner, 2013, Characterization of streamflow, water quality, and instantaneous dissolved solids, selenium, and uranium loads in selected reaches of the Arkansas River, southeastern Colorado, 2009-2010: U.S. Geological Survey Scientific Investigations Report 2012-5234, viii, 60 p., https://doi.org/10.3133/sir20125234.","productDescription":"viii, 60 p.","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-06-01","temporalEnd":"2010-10-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":267310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5234.gif"},{"id":267308,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5234/"},{"id":267309,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5234/SIR12-5234.pdf"}],"projection":"Universal Transverse Mercator projection Zone 13","country":"United States","state":"Colorado","county":"Baca;Bent;Chaffee;Cheyenne;Costilla;Crowley;Custer;El Paso;Elbert;Fremont;Huerfano;Kiowa;Lake;Las Animas;Lincoln;Otero;Prowers;Pueblo;Teller","city":"Pueblo","otherGeospatial":"Arkansas River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,37.0 ], [ -106.5,39.5 ], [ -102.0,39.5 ], [ -102.0,37.0 ], [ -106.5,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511cb5e2e4b0f79c4d2ceb9e","contributors":{"authors":[{"text":"Ivahnenko, Tamara 0000-0002-1124-7688 ivahnenk@usgs.gov","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":93524,"corporation":false,"usgs":true,"family":"Ivahnenko","given":"Tamara","email":"ivahnenk@usgs.gov","affiliations":[],"preferred":false,"id":473541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043402,"text":"sir20125291 - 2013 - Water-level and storage changes in the High Plains aquifer, predevelopment to 2011 and 2009-11","interactions":[],"lastModifiedDate":"2017-02-22T15:28:19","indexId":"sir20125291","displayToPublicDate":"2013-02-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5291","subseriesTitle":"Groundwater Resources Program","title":"Water-level and storage changes in the High Plains aquifer, predevelopment to 2011 and 2009-11","docAbstract":"The High Plains aquifer underlies 111.8 million acres (175,000 square miles) in parts of eight States--Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area. This report presents water-level changes in the High Plains aquifer from the time before substantial groundwater irrigation development began (generally before 1950, and termed \"predevelopment\" in this report) to 2011 and from 2009-11. The report also presents total water in storage, 2011, and change in water in storage in the aquifer from predevelopment to 2011. The methods to calculate area-weighted, average water-level changes; change in water in storage; and total water in storage for this report used geospatial data layers organized as rasters with a cell size of about 62 acres. These methods were modified from methods used in previous reports in an attempt to improve estimates of water-level changes and change in water in storage.Water-level changes from predevelopment to 2011, by well, ranged from a rise of 85 feet to a decline of 242 feet. The area-weighted, average water-level changes in the aquifer were an overall decline of 14.2 feet from predevelopment to 2011, and a decline of 0.1 foot from 2009-11. Total water in storage in the aquifer in 2011 was about 2.96 billion acre-feet, which was a decline of about 246 million acre-feet since predevelopment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125291","usgsCitation":"McGuire, V.L., 2013, Water-level and storage changes in the High Plains aquifer, predevelopment to 2011 and 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5291, iv, 15 p., https://doi.org/10.3133/sir20125291.","productDescription":"iv, 15 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039404","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":267306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5291.gif"},{"id":268536,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5291/sir2012-5291.pdf"},{"id":267304,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5291/"}],"scale":"2000000","projection":"Albers Equal-Area Conic","datum":"North American Datum of 1983","country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105,\n              32\n            ],\n            [\n              -96,\n              32\n            ],\n            [\n              -96,\n              44\n            ],\n            [\n              -105,\n              44\n            ],\n            [\n              -105,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511cb5eee4b0f79c4d2ceba6","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":516591,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043404,"text":"mineral2013 - 2013 - Mineral commodity summaries 2013","interactions":[],"lastModifiedDate":"2013-02-13T07:54:23","indexId":"mineral2013","displayToPublicDate":"2013-02-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013","title":"Mineral commodity summaries 2013","docAbstract":"Each chapter of the 2013 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2012 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses. For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the two-page synopsis. Abbreviations and units of measure, and definitions of selected terms used in the report, are in Appendix A and Appendix B, respectively. “Appendix C—Reserves and Resources” includes “Part A—Resource/Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is Appendix D. The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2013 are welcomed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mineral2013","isbn":"9781411335486","collaboration":"This summary is available online, in print and CD-ROM format.  Please see the verso of the title page in this summary for ordering information.","usgsCitation":"Mineral commodity summaries 2013; 2013; MINERAL; 2013; U.S. Geological Survey","productDescription":"Report: 198 p.; Appendixes A-D","numberOfPages":"201","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":267302,"type":{"id":3,"text":"Appendix"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2013/mcsapp2013.pdf"},{"id":267303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/mineral_2013.jpg"},{"id":267300,"type":{"id":15,"text":"Index Page"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/"},{"id":267301,"type":{"id":11,"text":"Document"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2013/mcs2013.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511cb5ebe4b0f79c4d2ceba2","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535406,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197217,"text":"70197217 - 2013 - Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes","interactions":[],"lastModifiedDate":"2018-05-23T11:00:04","indexId":"70197217","displayToPublicDate":"2013-02-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes","docAbstract":"We applied a spectroscopic analysis to Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) data collected from low and medium altitudes during and after the Deepwater Horizon oil spill to delineate the distribution of oil-damaged canopies in the marshes of Barataria Bay, Louisiana. Spectral feature analysis compared the AVIRIS data to reference spectra of oiled marsh by using absorption features centered near 1.7 and 2.3 μm, which arise from CH bonds in oil. AVIRIS-derived maps of oiled shorelines from the individual dates of July 31, September 14, and October 4, 2010, were 89.3%, 89.8%, and 90.6% accurate, respectively. A composite map at 3.5 m grid spacing, accumulated from the three dates, was 93.4% accurate in detecting oiled shorelines. The composite map had 100% accuracy for detecting damaged plant canopy in oiled areas that extended more than 1.2 m into the marsh. Spatial resampling of the AVIRIS data to 30 m reduced the accuracy to 73.6% overall. However, detection accuracy remained high for oiled canopies that extended more than 4 m into the marsh (23 of 28 field reference points with oil were detected). Spectral resampling of the 3.5 m AVIRIS data to Landsat Enhanced Thematic Mapper (ETM) spectral response greatly reduced the detection of oil spectral signatures. With spatial resampling of simulated Landsat ETM data to 30 m, oil signatures were not detected. Overall, ~ 40 km of coastline, marsh comprised mainly of Spartina alterniflora and Juncus roemerianus, were found to be oiled in narrow zones at the shorelines. Zones of oiled canopies reached on average 11 m into the marsh, with a maximum reach of 21 m. The field and airborne data showed that, in many areas, weathered oil persisted in the marsh from the first field survey, July 10, to the latest airborne survey, October 4, 2010. The results demonstrate the applicability of high spatial resolution imaging spectrometer data to identifying contaminants in the environment for use in evaluating ecosystem disturbance and response.","largerWorkTitle":"Remote Sensing of Environment","language":"English","publisher":"Elsevier ","doi":"10.1016/j.rse.2012.10.028","usgsCitation":"Kokaly, R.F., Couvillion, B., Holloway, J.M., Roberts, D.A., Ustin, S.L., Peterson, S.H., Khanna, S., and Piazza, S.C., 2013, Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes: Remote Sensing of Environment, v. 129, p. 210-230, https://doi.org/10.1016/j.rse.2012.10.028.","productDescription":"21 p.","startPage":"210","endPage":"230","ipdsId":"IP-029498","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":473952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2012.10.028","text":"Publisher Index Page"},{"id":354412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.9454116821289,\n              29.420460341013133\n            ],\n            [\n              -89.9454116821289,\n              29.513421462044942\n            ],\n            [\n              -89.81494903564453,\n              29.513421462044942\n            ],\n            [\n  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0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":146832,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":736268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":736263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":736266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":736269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Seth H.","contributorId":139568,"corporation":false,"usgs":false,"family":"Peterson","given":"Seth","email":"","middleInitial":"H.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":736267,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Khanna, Shruti","contributorId":205167,"corporation":false,"usgs":false,"family":"Khanna","given":"Shruti","email":"","affiliations":[{"id":37041,"text":"Department of Land, Air, and Water Resources, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":736270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piazza, Sarai C. 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":466,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":736264,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043575,"text":"ofr20131036 - 2013 - Population estimates for the Toiyabe population of the Columbia spotted frog (<i>Rana luteiventris</i>), 2004–10","interactions":[],"lastModifiedDate":"2013-02-15T08:32:08","indexId":"ofr20131036","displayToPublicDate":"2013-02-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1036","title":"Population estimates for the Toiyabe population of the Columbia spotted frog (<i>Rana luteiventris</i>), 2004–10","docAbstract":"The Toiyabe population of Columbia spotted frogs (<i>Rana luteiventris</i>, hereafter \"Toiyabe frogs\") is a geographically isolated population located in central Nevada (fig. 1). The Toiyabe population is part of the Great Basin Distinct Population Segment of Columbia spotted frogs, and is a candidate for listing under the Endangered Species Act (U.S. Fish and Wildlife Service, 2011). The cluster of breeding sites in central Nevada represents the southernmost extremity of the Columbia spotted frogs' known range (Funk and others, 2008). Toiyabe frogs are known to occur in seven drainages in Nye County, Nevada: Reese River, Cow Canyon Creek, Ledbetter Canyon Creek, Cloverdale Creek, Stewart Creek, Illinois Creek, and Indian Valley Creek. Most of the Toiyabe frog population resides in the Reese River, Indian Valley Creek, and Cloverdale Creek drainages (fig. 1; Nevada Department of Wildlife, 2003). Approximately 90 percent of the Toiyabe frogs' habitat is on public land. Most of the public land habitat (95 percent) is managed by the U.S. Forest Service (USFS), while the Bureau of Land Management (BLM) manages the remainder. Additional Toiyabe frog habitat is under Yomba Shoshone Tribal management and in private ownership (Nevada Department of Wildlife, 2003). The BLM, USFS, Nevada Department of Wildlife (NDOW), Nevada Natural Heritage Program (NNHP), Nye County, and U.S Fish and Wildlife Service (USFWS) have monitored the Toiyabe population since 2004 using mark and recapture surveys (Nevada Department of Wildlife, 2004). The USFWS contracted with the U.S. Geological Survey (USGS) to produce population estimates using these data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131036","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service (Region 8) and the Nevada Natural Heritage Program","usgsCitation":"Adams, M.J., Mellison, C., and Galvan, S., 2013, Population estimates for the Toiyabe population of the Columbia spotted frog (<i>Rana luteiventris</i>), 2004–10: U.S. Geological Survey Open-File Report 2013-1036, iv, 32 p., https://doi.org/10.3133/ofr20131036.","productDescription":"iv, 32 p.","numberOfPages":"38","onlineOnly":"Y","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":267492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1036.gif"},{"id":267489,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1036/"},{"id":267491,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1036/pdf/ofr20131036.pdf"}],"projection":"Iambert Conformal Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","otherGeospatial":"Humboldt-toiyabe National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.83,38.5 ], [ -117.83,39.416 ], [ -116.83,39.416 ], [ -116.83,38.5 ], [ -117.83,38.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f6724e4b03b29402c5e20","contributors":{"authors":[{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":473871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mellison, Chad","contributorId":28873,"corporation":false,"usgs":true,"family":"Mellison","given":"Chad","affiliations":[],"preferred":false,"id":473872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galvan, Stephanie K.","contributorId":107826,"corporation":false,"usgs":true,"family":"Galvan","given":"Stephanie K.","affiliations":[],"preferred":false,"id":473873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043352,"text":"sir20125292 - 2013 - Potential reductions of street solids and phosphorus in urban watersheds from street cleaning, Cambridge, Massachusetts, 2009-11","interactions":[],"lastModifiedDate":"2013-03-13T15:41:15","indexId":"sir20125292","displayToPublicDate":"2013-02-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5292","title":"Potential reductions of street solids and phosphorus in urban watersheds from street cleaning, Cambridge, Massachusetts, 2009-11","docAbstract":"Material accumulating and washing off urban street surfaces and ultimately into stormwater drainage systems represents a substantial nonpoint source of solids, phosphorus, and other constituent loading to waterways in urban areas. Cost and lack of usable space limit the type and number of structural stormwater source controls available to municipalities and other public managers. Non-structural source controls such as street cleaning are commonly used by cities and towns for construction, maintenance and aesthetics, and may reduce contaminant loading to waterways. Effectiveness of street cleaning is highly variable and potential improvements to water quality are not fully understood. In 2009, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, the U.S. Environmental Protection Agency, and the city of Cambridge, Massachusetts, and initiated a study to better understand the physical and chemical nature of the organic and inorganic solid material on street surfaces, evaluate the performance of a street cleaner at removing street solids, and make use of the Source Loading and Management Model (SLAMM) to estimate potential reductions in solid and phosphorus loading to the lower Charles River from various street-cleaning technologies and frequencies. Average yield of material on streets collected between May and December 2010, was determined to be about 740 pounds per curb-mile on streets in multifamily land use and about 522 pounds per curb-mile on commercial land-use streets. At the end-of-winter in March 2011, about 2,609 and 4,788 pounds per curb-mile on average were collected from streets in multifamily and commercial land-use types, respectively. About 86 percent of the total street-solid yield from multifamily and commercial land-use streets was greater than or equal to 0.125 millimeters in diameter (or very fine sand). Observations of street-solid distribution across the entire street width indicated that as much as 96 percent of total solids resided within 9 feet of the curb. Median accumulation rates of street solids and median washoff of street solids after rainstorms on multifamily and commercial land-use streets were also similar at about 33 and 22 pounds per curb-mile per day, and 35 and 40 percent, respectively. Results indicate that solids on the streets tested in Cambridge, Mass., can recover to pre-rainstorm yields within 1 to 3 days after washoff. The finer grain-size fractions tended to be more readily washed from the roadway surfaces during rainstorms. Street solids in the coarsest grain-size fraction on multifamily streets indicated an average net increase following rainstorms and are likely attributed to debris run-on from trees, lawns, and other plantings commonly found in residential areas. In seven experiments between May and December 2010, the median removal efficiency of solids from street surfaces following a single pass by a regenerative-air street cleaner was about 82 percent on study sites in the multifamily land-use streets and about 78 percent on the commercial land-use streets. Median street-solid removal efficiency increased with increasing grain size. This type of regenerative-air street cleaner left a median residual street-solid load on the street surface of about 100 pounds per curb-mile. Median concentrations of organic carbon and total phosphorus (P) on multifamily streets were about 35 and 29 percent greater, respectively, than those found on commercial streets. The median total mass of organic carbon and total P in street solids on multifamily streets was 68 and 75 percent greater, respectively, than those found on commercial streets. More than 87 percent of the mass of total P was determined to be in solids greater than or equal to 0.125 millimeters in diameter for both land-use types. The median total accumulation rate for total P on multifamily streets was about 5 times greater than on commercial streets. Total P accumulation in the medium grain-size fraction was nearly the same for streets within both land-use types at 0.004 pounds per curb-mile per day. Accumulation rates within the coarsest and finest grain-size fractions on multifamily streets were about 11 and 82 times greater than those on the commercial streets. Median washoff of total P was 58 and 48 percent from streets in multifamily and commercial land-use types, respectively, and generally increased with decreasing grain size. Total P median reductions resulting from a single pass of a regenerative-air street cleaner on streets in multifamily and commercial land-use types were about 82 and 62 percent, respectively, and were similar in terms of grain size between both land-use types. A Source Loading and Management Model for Microsoft Windows (WinSLAMM) was applied to a 21.8 acre subcatchment in Cambridge, Mass. The subcatchment area consists of mostly commercial and multifamily land-use types to evaluate the potential reductions of total and particulate solids, and P attributed to street cleaning. Rainwater runoff from rooftops represented between 20 and 50 percent of the total basin runoff. Street surfaces only accounted for about 20 percent of the total basin runoff. Monthly applications of mechanical-brush and vacuum-assisted street cleaners within the subcatchment as defined by SLAMM for areas with long-term (24-hour) on-street parking and monthly parking controls using five average climatic years resulted in total solid reductions of about 3 and 5 percent, respectively. Simulating the regenerative-air street cleaner tested as part of this study resulted in total solid reductions of about 16 percent. Increasing street cleaning frequency to three times weekly increased total solids removal for mechanical-brush, vacuum-assisted, and regenerative-air street cleaners to about 6, 14, and 19 percent, respectively. Monthly applications of mechanical-brush, vacuum-assisted, and regenerative-air street cleaners within the subcatchment resulted in total P reductions of about 1, 3, and 8 percent, respectively. A street cleaning frequency of three times each week for each of the three street-cleaner types increased total P removal to about 3, 7, and 9 percent, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125292","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection, the U.S. Environmental Protection Agency, and the City of Cambridge. The report is available online and in print format with the appendix on CD-ROM.","usgsCitation":"Sorenson, J.R., 2013, Potential reductions of street solids and phosphorus in urban watersheds from street cleaning, Cambridge, Massachusetts, 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5292, Report: x, 66 p.; 1 Appendix; 1 CD-ROM, https://doi.org/10.3133/sir20125292.","productDescription":"Report: x, 66 p.; 1 Appendix; 1 CD-ROM","numberOfPages":"80","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":267282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5292/"},{"id":267283,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5292/pdf/sir2012-5292_rev030613.pdf"},{"id":267284,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5292/Appendix1/sir2012-5292_appx1_tbles1-1_1-6.xlsx"},{"id":267285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5292.gif"}],"country":"United States","state":"Massachusetts","city":"Cambridge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.16,42.35 ], [ -71.16,42.405 ], [ -71.06,42.405 ], [ -71.06,42.35 ], [ -71.16,42.35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511b6471e4b0e3ef7b6f1df5","contributors":{"authors":[{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473458,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043323,"text":"70043323 - 2013 - U.S. Department of the Interior STEM education and employment pathways strategic plan fiscal years 2013--2018","interactions":[],"lastModifiedDate":"2014-05-08T10:22:21","indexId":"70043323","displayToPublicDate":"2013-02-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"U.S. Department of the Interior STEM education and employment pathways strategic plan fiscal years 2013--2018","docAbstract":"The Department of the Interior’s Strategic Plan for Fiscal Years 2011–2016 presents the Department of the Interior’s vision for a 21st century Department whose highly skilled workforce reflects the diversity of the Nation, optimizes youth engagement throughout its programs, promotes sustainable operations, and applies effective and efficient management.","language":"English","publisher":"U.S. Department of the Interior","publisherLocation":"Washington, D.C.","usgsCitation":"DOI STEM Education Working Group, 2013, U.S. Department of the Interior STEM education and employment pathways strategic plan fiscal years 2013--2018, iii, 27 p.","productDescription":"iii, 27 p.","startPage":"i","endPage":"27","numberOfPages":"34","temporalStart":"2013-10-01","temporalEnd":"2018-09-30","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":267273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267272,"type":{"id":11,"text":"Document"},"url":"https://nctc.fws.gov/programs/education-outreach/DOI-STEM-Strategic-Plan-2013-2018.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511b6473e4b0e3ef7b6f1dfc","contributors":{"authors":[{"text":"DOI STEM Education Working Group","contributorId":128070,"corporation":true,"usgs":false,"organization":"DOI STEM Education Working Group","id":535405,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043341,"text":"sir20125288 - 2013 - Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont","interactions":[],"lastModifiedDate":"2013-02-12T11:35:21","indexId":"sir20125288","displayToPublicDate":"2013-02-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5288","title":"Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont","docAbstract":"The Pike Hill Copper Mine Superfund site in Corinth, Orange County, Vermont, includes the Eureka, Union, and Smith mines along with areas of downstream aquatic ecosystem impairment. The site was placed on the U.S. Environmental Protection Agency (USEPA) National Priorities List in 2004. The mines, which operated from about 1847 to 1919, contain underground workings, foundations from historical structures, several waste-rock piles, and some flotation tailings. The mine site is drained to the northeast by Pike Hill Brook, which includes several wetland areas, and to the southeast by an unnamed tributary that flows to the south and enters Cookville Brook. Both brooks eventually drain into the Waits River, which flows into the Connecticut River. The aquatic ecosystem at the site was assessed using a variety of approaches that investigated surface-water quality, sediment quality, and various ecological indicators of stream-ecosystem health. The degradation of surface-water quality is caused by elevated concentrations of copper, and to a lesser extent cadmium, with localized effects caused by aluminum, iron, and zinc. Copper concentrations in surface waters reached or exceeded the USEPA national recommended chronic water-quality criteria for the protection of aquatic life in all of the Pike Hill Brook sampling locations except for the location farthest downstream, in half of the locations sampled in the tributary to Cookville Brook, and in about half of the locations in one wetland area located in Pike Hill Brook. Most of these same locations also contained concentrations of cadmium that exceeded the chronic water-quality criteria. In contrast, surface waters at background sampling locations were below these criteria for copper and cadmium. Comparison of hardness-based and Biotic Ligand Model (BLM)-based criteria for copper yields similar results with respect to the extent or number of stations impaired for surface waters in the affected area. However, the BLM-based criteria are commonly lower values than the hardness-based criteria and thus suggest a greater degree or magnitude of impairment at the sampling locations. The riffle-habitat benthic invertebrate richness and abundance data correlate strongly with the extent of impact based on water quality for both brooks. Similarly, the fish community assessments document degraded conditions throughout most of Pike Hill Brook, whereas the data for the tributary to Cookville Brook suggest less degradation to this brook. The sediment environment shows similar extents of impairment to the surface-water environment, with most sampling locations in Pike Hill Brook, including the wetland areas, and the tributary to Cookville Brook affected. Sediment impairment is caused by elevated copper concentrations, although localized degradation due to elevated cadmium and zinc concentrations was documented on the basis of exceedances of probable effects concentrations (PECs). In contrast to impairment determined by exceedances of PECs, equilibrium-partitioning sediment benchmarks (based on simultaneously extracted metals, acid volatile sulfides, and total organic carbon) predict no toxic effects in sediments at the background locations and uncertain toxic effects throughout Pike Hill Brook and the tributary to Cookville Brook, with the exception of the most downstream Cookville Brook location, which indicated no toxic effects. Acute laboratory toxicity testing using the amphipod <i>Hyalella azteca</i> and the midge <i>Chironomus dilutus</i> on pore waters extracted from sediment in situ indicate impairment (based on tests with <i>H. azteca</i>) at only one location in Pike Hill Brook and no impairment in the tributary to Cookville Brook. Chronic laboratory sediment toxicity testing using <i>H. azteca</i> and <i>C. dilutus</i> indicated toxicity in Pike Hill Brook at several locations in the lower reach and two locations in the tributary to Cookville Brook. Toxicity was not indicated for either species in sediment from the most acidic metal-rich location, likely due to the low lability of copper in that sediment, as indicated by a low proportion of extractable copper (simultaneously extracted metal (SEM) copper only 5 percent of total copper) and due to the flushing of acidic metal-rich pore water from experimental chambers as overlying test water was introduced before and replaced periodically during the toxicity tests. Depositional habitat invertebrate richness and abundance data generally agreed with the results of toxicity tests and with the extent of impact in the watersheds on the basis of sediment and pore waters. The information was used to develop an overall assessment of the impact of mine drainage on the aquatic system downstream from the Pike Hill copper mines. Most of Pike Hill Brook, including several wetland areas that are all downstream from the Eureka and Union mines, was found to be impaired on the basis of water-quality data and biological assessments of fish or benthic invertebrate communities. In contrast, only one location in the tributary to Cookville Brook, downstream from the Smith mine, is definitively impaired. The biological community begins to recover at the most downstream locations in both brooks due to natural attenuation from mixing with unimpaired streams. On the basis of water quality and biological assessment, the reference locations were of good quality. The sediment toxicity, chemistry, and aquatic community survey data suggest that the sediments could be a source of toxicity in Pike Hill Brook and the tributary to Cookville Brook. On the basis of water quality, sediment quality, and biologic communities, the impacts of mine drainage on the aquatic ecosystem health of the watersheds in the study area are generally consistent with the toxicity suggested from laboratory toxicity testing on pore water and sediments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125288","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Piatak, N., Argue, D.M., Seal, R., Kiah, R.G., Besser, J.M., Coles, J.F., Hammarstrom, J.M., Levitan, D.M., Deacon, J.R., and Ingersoll, C.G., 2013, Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont: U.S. Geological Survey Scientific Investigations Report 2012-5288, x, 109 p.; 14 Appendixes; 17 Tables, https://doi.org/10.3133/sir20125288.","productDescription":"x, 109 p.; 14 Appendixes; 17 Tables","startPage":"i","endPage":"109","numberOfPages":"124","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":267279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5288.gif"},{"id":267274,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5288/"},{"id":267275,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5288/pdf/sir2012-5288.pdf"},{"id":267276,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5288/SIR2012_5288_Appendix1.zip"},{"id":267277,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5288/pdf/appendixes2-14.pdf"},{"id":267278,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5288/text_and_appendix_tables.xlsx"}],"country":"United States","state":"Vermont","city":"Corinth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.382768,43.978778 ], [ -72.382768,44.096112 ], [ -72.19157,44.096112 ], [ -72.19157,43.978778 ], [ -72.382768,43.978778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511b6462e4b0e3ef7b6f1df1","contributors":{"authors":[{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":473437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":473434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":473429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":473432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":473430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Levitan, Denise M.","contributorId":77798,"corporation":false,"usgs":true,"family":"Levitan","given":"Denise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Deacon, Jeffrey R. 0000-0001-5793-6940 jrdeacon@usgs.gov","orcid":"https://orcid.org/0000-0001-5793-6940","contributorId":2786,"corporation":false,"usgs":true,"family":"Deacon","given":"Jeffrey","email":"jrdeacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":473436,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":473431,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70038462,"text":"70038462 - 2013 - Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements","interactions":[],"lastModifiedDate":"2014-01-15T12:51:57","indexId":"70038462","displayToPublicDate":"2013-02-11T12:47:45","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements","docAbstract":"The use of acoustic Doppler current profilers (ADCP) for discharge measurements and three-dimensional flow mapping has increased rapidly in recent years and has been primarily driven by advances in acoustic technology and signal processing. Recent research has developed a variety of methods for processing data obtained from a range of ADCP deployments and this paper builds on this progress by describing new software for processing and visualizing ADCP data collected along transects in rivers or other bodies of water. The new utility, the Velocity Mapping Toolbox (VMT), allows rapid processing (vector rotation, projection, averaging and smoothing), visualization (planform and cross-section vector and contouring), and analysis of a range of ADCP-derived datasets. The paper documents the data processing routines in the toolbox and presents a set of diverse examples that demonstrate its capabilities. The toolbox is applicable to the analysis of ADCP data collected in a wide range of aquatic environments and is made available as open-source code along with this publication.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Surface Processes and Landforms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, Sussex; New York","doi":"10.1002/esp.3367","usgsCitation":"Parsons, D., Jackson, P., Czuba, J.A., Engel, F., Rhoads, B., Oberg, K.A., Best, J., Mueller, D.S., Johnson, K., and Riley, J., 2013, Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements: Earth Surface Processes and Landforms, v. 38, no. 11, p. 1244-1260, https://doi.org/10.1002/esp.3367.","productDescription":"17 p.","startPage":"1244","endPage":"1260","numberOfPages":"17","ipdsId":"IP-031729","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":281096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281095,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3367"}],"volume":"38","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"53cd7b07e4b0b2908510ddf1","contributors":{"authors":[{"text":"Parsons, D.R.","contributorId":84322,"corporation":false,"usgs":true,"family":"Parsons","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":464275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P.R.","contributorId":68552,"corporation":false,"usgs":true,"family":"Jackson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":464273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, J. A.","contributorId":98036,"corporation":false,"usgs":true,"family":"Czuba","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, F.L.","contributorId":7182,"corporation":false,"usgs":true,"family":"Engel","given":"F.L.","email":"","affiliations":[],"preferred":false,"id":464268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rhoads, B.L.","contributorId":17186,"corporation":false,"usgs":true,"family":"Rhoads","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":464269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oberg, K. A.","contributorId":67553,"corporation":false,"usgs":true,"family":"Oberg","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Best, J.L.","contributorId":49635,"corporation":false,"usgs":true,"family":"Best","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":464270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, D. S.","contributorId":51338,"corporation":false,"usgs":true,"family":"Mueller","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464271,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, K. K.","contributorId":70871,"corporation":false,"usgs":true,"family":"Johnson","given":"K. 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